Kaimil_Saman_DBF AIAA OC Conference

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    University of California, IrvineUCI Team Caddyshack

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    The UCI AIAA student chapter participates in the annual AIAA Design

    Build Fly (DBF) competition.

    This competition gives the engineering students a chance to apply

    classroom knowledge, gain hands on skills, and experience an

    industry level project-development from conceptual design to

    building and testing an optimized final product.

    Over the past 6 years this project has grown substantially in size and

    skill with the help of previous DBF students, currently working in the

    aerospace industry, who meeting with the current team weekly.

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    Introduction

    Team Organization

    2011 Competition

    Conceptual Design

    Preliminary Design

    Detailed Design

    Manufacturing

    Testing

    Expected Final Performance

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    Project ManagerKamil Samaaan

    Report

    Lead: GiuseppeVenneri

    Patrick Lavaveshkul

    Semir Said

    Westly Wu

    Byron Frenkiel

    CAD

    Lead: PatrickLavaveshkul

    Kerchia Chen

    Sothea Sok

    Angela Grayr

    Erica Wang

    Chief Engineer

    Giuseppe Venneri

    Aerodynamics

    Lead: Curtis Beard

    Rayomand Gundevia

    Thuyhang Nguyen

    Anthony Jordan

    Max Daly

    Propulsion

    Lead: Kevin Anglim

    Kasra Kakavand

    Khizar Karwa

    Alexander Mercado

    Yi-lin Hsu

    Structures

    Lead: Hiro

    Nakajima

    Kurt Fortunato

    Gagon Singh

    Kevin Koesno

    Michael Gamboa

    Payload

    Lead: Jacqueline

    Thomas

    Semir Said

    Westly Wu

    Stability andControl

    Lead: David Martin

    James Lewis

    Giuseppe Venneri

    Test FlightCoordinator

    Alexander Mercado

    Public Relations

    Chen Weng

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    Aerodynamics: Computes flight characteristics and necessary wing

    dimensions.

    Propulsion:Analyzes propulsion system to find best motor, propeller and

    battery combination.

    Structures: Optimizes load-bearing components and maintains a weights

    build-up of the aircraft.

    Payload:Designs and manufactures steel payload and restraints for the

    payload and aircraft.

    Stability & Control: Ensures aircraft meets S&C standards and works

    closely with aerodynamics to predict flight performance.

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    Competition consists of 3 missions:

    Mission 1:Complete as many laps as possible in a 4-minutes. time

    frame (M1 = Nlaps/Nmax)

    Mission 2:3 laps with a steel bar payload.

    (M2= 3x(Payload weight/Flight weight))

    Mission 3:3 laps with

    a team-selected

    quantity of golf balls.

    (M3 = 2x(Nballs/Nmax))

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    Constraints for 2011:

    Battery weight: lb

    20 amp slow-blow fuse

    Aircraft must fit in a commercially-available carry-on suitcase.

    L + W + H = 45inches (no dimension can exceed 22 in.)

    Suitcase must include entire flight system, including aircraft, battery and

    all required parts and tools.

    Golf balls are regulation sized and the steel bar payload dimensions are

    constrained: 3 in. width x 4 in. length minimum.

    Aircraft must be hand-launched.

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    Sensitivity Analysis

    Configuration Figures of Merit

    Aircraft Configuration

    Subsystems Selection

    Motor Position

    Landing Methods

    Yaw Control

    Wing Attachment Methods

    Payload Configuration

    Final Configuration

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    The objective of this analysis is to identify the mission parameters

    that have the largest impact on the score. A maximum of 64 golf balls and 9 laps were the benchmark values,

    determined using the data from past DBF competitions.

    Thrust and drag models were used in a simulation program to design

    hundreds of planes and perform this analysis.

    Mission 1 favors a small plane and

    payload with a large propulsion

    system.

    Missions 2 and 3 favor a large

    plane with a high wing loading.

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    In order to select an aircraft configuration, a scoring system

    based on figures of merit was produced. Each was weighted

    based on results of the scoring analysis:

    System weight (35%)

    L/D (20%)

    Cargo space (15%)

    Maneuverability (10%)

    Manufacturing (10%)

    Hand launch (10%)

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    Tractor- Lightweight, higher efficiency andless dangerous hand launch.

    Pusher- greater lift due to lack of prop-

    wash, limits the maximum amount of

    sweep and a dangerous hand launch.

    Double Tractor- Smaller propellers,

    increased cargo space in center, less

    dangerous hand launch, increased weight

    and difficulty in locating the CG.

    Push-Pull-Increased weight, limitsmaximum sweep and provides a more

    dangerous hand launch.

    FOMWeight

    Single

    Tractor

    Single

    Pusher

    Double

    Tractor

    Push-Pull

    System Weight 45 0 0 -1 -1

    Drag 20 0 1 -1 0

    Hand Launch 15 0 -2 1 -2

    Stability 10 0 -1 0 -1

    Cargo Space 10 0 1 2 -1

    Total 100 0 -10 -30 -95

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    Belly Landing-Low weight, low drag,

    would be difficult to hand launch andvulnerable to fatigue.

    Skid/ Handle-Improved hand launch,

    increased structural support, potential

    additional storage space and slight

    increase in weight and drag.

    Skid & Wire-Decreased stopping

    distance, minor increase in weight and

    increase in drag.

    Tricycle-Reliable and high strength,

    however significant increase in weight,

    drag and difficulty of hand launch.

    FOM Wt

    Belly

    Landing Handle/ Skid

    Skid and

    Piano wire Tricycle

    System Weight 45 0 -1 -1 -2

    Drag 20 0 0 -1 -2

    Hand Launch 15 0 2 -1 -2

    Stability 10 0 0 1 2

    Cargo Space 10 0 2 0 0

    Total 100 0 5 -70 -140

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    Winglets-Reduced drag, lightweight and provides yaw stability.

    Wingtip rudders- Increased pilot

    control and increased weight.

    Aft Vertical tail-Greater moment to

    correct yaw and significant

    increase in weight.

    Split Flaps- Provides only a minor

    increase in weight, complex and

    difficult to implement correctly andcause and increase in drag.

    FOMWeight Winglets

    Wingtip

    Rudders

    Aft Vertical

    Tail

    Split

    Flaps

    System

    Weight45 0 -1 -2 -1

    Drag 25 0 0 -1 0

    Hand Launch 15 0 0 -1 0

    Stability 15 0 1 2 0

    Total 100 0 -30 -100 -45

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    Fully enclosed internal payload compartment-Less drag and a

    lower weight. Requires a larger t/c airfoil or a larger aircraft.

    Fuselage (BWB) style compartment-More efficient method of

    cargo placement near the Center of Gravity, increased drag and

    difficulty to manufacture.

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    Design and Optimization Programs

    Design Methodology

    Mission Model

    Aerodynamics

    Airfoil Selection

    Wing Sizing

    Propulsion Sizing

    Drag

    Lift

    Stability and Control

    Mean Aerodynamic Chord

    Winglets

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    SolidWorks: used to model aircraft prototypes and to help determine

    airfoil selection

    XFOIL: Used to analyze possible airfoil choices for aerodynamiccharacteristics

    Microsoft Excel: Used extensively for data analysis, storage andgraphing

    AVL: Used for flight-dynamic analysis and to ensure overall stability

    of the aircraft

    MATLAB: Used to create an optimization program

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    The mission profile was modeled using for loops and while loops in

    MATLAB.

    The aerodynamic and propulsion forces were computed for every loop-

    iteration to determine the change in position and velocity of the aircraft

    during that period of time.

    The program assumed some initial conditions for takeoff such as handlaunch velocity and wind conditions.

    The mission model program computes:

    the energy used

    the number of laps completed in 4 minutes

    The maximum payload capacity a design could carry.

    The total flight score is computed for several designs which resulted in

    an optimized design.

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    The majority of airfoils that were considered were the reflex type for our flying wing.

    Studies were done using XFOIL and SolidWorks to determine which airfoil best suited

    our needs.

    Coefficient of moment vs. angle of attack NACA 4-digit symmetric series study

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    Wing loading was optimized

    based on the total flight score

    using our mission profile MATLAB

    program.

    The figure to the right shows a

    plot of the total drag as a function

    of the aspect ratio for mission

    three during takeoff.

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    Battery Selection

    Considered several different

    battery types and the

    capacity-to-weight ratios.

    A mission profile was used to

    determine an estimate of theamount of energy needed to

    complete each of the

    missions.Motor Selection

    Based on the battery andthe current limitation of

    20A, the maximum power

    the battery could supply to

    the motor is 300 W.

    Propeller Selection

    Pitch-High pitchperforms better at high

    speeds while low pitch

    performs better at low

    speeds.

    Diameter- Largerdiameter= more thrust

    and more power

    required from motor.

    o Mission 1: High pitch

    small diameter.

    o Missions 2 & 3: Lower

    pitch and larger

    diameter.

    Battery

    Capacity mAh

    Ah / oz

    Redicom

    500

    1.56

    Nimh

    700 1.75

    Elite 1500

    1500 1.92Elite 1700

    1700 1.7

    Elite 2000

    2000

    1.72

    Elite 2200

    2200

    1.44

    Elite 3300

    3300 1.71

    Name Weight

    oz

    Kv

    RP

    M/V

    Max

    Current

    Amp

    Power

    W

    Resist

    ance

    Hacker

    A30-14L

    4.6

    800

    35

    490

    0.038

    Hacker

    A30-12L

    4.6

    100

    0

    32

    400

    0.041

    Hacker

    A30-10L

    4.8

    118

    5

    35

    450

    0.023

    HackerA30-8XL

    5.5

    110

    0

    35

    600

    0.015

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    The drag was computed using the equivalent flat plate area method.

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    The wing was optimized

    for the cruise of mission

    two and three.

    Washout helped focus

    the peak of the CL

    distribution.

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    We calculated our MAC and

    simulated our aircrafts geometry

    through AVL

    The figure to the right shows the

    resulting pole-zero map of the

    eigenvalues calculated by theprogram.

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    WINGLETS

    An eignemode analysis made in AVLshowed that the flying wing was susceptible

    to low Dutch roll damping.

    Dutch roll was clearly visible during test

    flights, but Pilot still maintained good control.

    Sized for Dutch roll damping above 0.02.

    Optimized Winglet Dimensions

    Height c/4: 9.5 in

    Sweep: 37 degreesDistance behind LE: 6.0 in

    Taper ratio: 0.7

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    We modeled the wing sparas an I-beam.

    Carbon strips were laid on

    the top and bottom of the

    wing with a 5/8 diameter

    carbon rod running between

    the strips to create our spar.

    Testing later on showed that

    the wing with two spars was

    favored over the single spar.

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    In an effort to reduce weight, the motor mount, landing skids and launch

    handle were combined into one carbon fiber structure that was

    integrated into the center wing section.

    This design proved to be very efficient in cargo space utilization.

    The forward end is used as an electronics compartment to house the

    speed controller and the fuse.

    The skid and handle section was designed as a channel that was sized to

    fit the propulsion battery pack.

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    Foam wings were

    created and hollowed

    out using wooden

    templates and a hotwire

    as investigated over

    summer.

    Wings were then coated

    with fiber glass and a

    strip of carbon fiber for

    strength.

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    Wingtip Testing

    Propulsion Testing

    Handle Design Tests

    Flight Tests

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    Wing tip testing was used to confirm and validate wing-sparcalculations and our hollow core foam design.

    Testing was performed

    by securing the tips

    of a wing and loading

    it mid-span until

    failure occurred.

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    Static thrust testing was conducted to measure the performance of various

    propulsion systems.

    Dynamic thrust testing was conducted using a load cell that was mounted to a

    custom-designed sliding motor mount and was used to collect dynamic thrust

    data during flight.

    This data was used to accurately model the dynamic thrust in the mission profile

    optimization program. Fuse and battery testing were also conducted in the lab to determine the limits

    and range of operation.

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    Different handle designs were

    created and tested initially to

    find which best suited the hand

    launcher to give him control

    and stability at take off.

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    The following are a combination of both

    prototypes, and were used to calibrate the

    preliminary design.

    Takeoff speed: 30 ft/s

    Max wing loading: 28 oz

    Locating CG for stable flight: 15% static

    margin

    Dutch roll damping: Controllable

    Lap time: 37 s

    Prototype I

    Prototype II

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    Prototype I

    Provided insight into launch and landing techniques.

    Provided data for the calibration of the wing loading.

    Prototype II

    Improved stability.

    Increased payload space.

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    The conditions surrounding the fuse inTucson are very different than those in Irvine.The fuse will blow at a lower current inTucson.

    Flying later in the day helped with the abovehandicap, when it was cooler. In fact, heavyplanes like those from Israel and MIT skippedtheir noon rotation and waited till the lateafternoon to fly their airplanes (9 lbs!!).

    Conduct propulsion tests and test flights withcompetition weather conditions in mind.